Generates MLS-ready property listing descriptions with attention-grabbing headlines, feature highlights, neighborhood context, and SEO keywords across multiple buyer-persona styles
日本語の概要は準備中です。原文の説明を表示しています。
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概要と使いどころ
Generates MLS-ready property listing descriptions with attention-grabbing headlines, feature highlights, neighborhood context, and SEO keywords across multiple buyer-persona styles
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates a property across three investment strategies — Buy & Hold, BRRRR, and Fix & Flip — with feasibility scores, multi-year projections, tax benefits, and break-even analysis
日本語の概要は準備中です。原文の説明を表示しています。
Fix-and-Flip Analysis — purchase price, ARV, rehab budget breakdown, holding costs, selling costs, profit margin, ROI, timeline, and risk assessment with Flip Score (0-100)
日本語の概要は準備中です。原文の説明を表示しています。
Finds and analyzes 5-10 comparable recent sales to estimate fair market value, calculate price adjustments, and score the property's value proposition
日本語の概要は準備中です。原文の説明を表示しています。
Commercial Property Analysis — NOI, cap rate, expense ratio, tenant mix, vacancy, debt coverage, replacement cost, and lease analysis with Commercial Score (0-100)
日本語の概要は準備中です。原文の説明を表示しています。
Launches 5 parallel AI agents to produce a comprehensive property analysis with composite Property Score (0-100), investment grade, and actionable recommendations
日本語の概要は準備中です。原文の説明を表示しています。
Rebuilds an existing website as a clean new codebase that looks and behaves like the original: captures pages, breakpoints, design tokens, assets and interaction states with a browser tool, plans the build, rebuilds section by section and proves each one against the capture with a pixel diff. Use when the user says "clone this website", "rebuild my site in Next.js or Astro", "recreate this page pixel-perfect", "move my Webflow or WordPress site to code" or "copy this layout". Full copies are only for sites the user owns or is authorized to copy; for anyone else's site it borrows the layout ideas and never the brand, content or sign-in pages.
日本語の概要は準備中です。原文の説明を表示しています。
Use when an implementation has more workarounds than structure and another patch will not pay. Not for in-place re-derivation: use breaking-driven. Not for one-artifact rewrites: use rewrite-clean-v0.
日本語の概要は準備中です。原文の説明を表示しています。
How to use the Appwrite CLI well. Covers when to use appwrite.config.json vs `appwrite client`, pull/push vs one-shot service calls, type-safe SDK and model generation, query flags, CI auth, Cloud regional endpoints, function/site variables, and traps that `--help` will not mention. Does not catalog commands — run `appwrite <command> --help` for flags. Use whenever running `appwrite`, deploying or pulling functions/sites/tables, generating application code from a table schema, initializing or linking a project, scripting Appwrite, or when the user mentions the Appwrite CLI, appwrite.config.json, `appwrite generate`, `appwrite types`, or `appwrite client`.
日本語の概要は準備中です。原文の説明を表示しています。
Identify and exploit HTTP Request Smuggling (HTTP Desync) vulnerabilities caused by discrepancies in how front-end proxies (load balancers, CDNs) and back-end servers parse the Content-Length and Transfer-Encoding headers. Use this to bypass security controls, hijack user sessions, and poison web caches.
日本語の概要は準備中です。原文の説明を表示しています。
Weaviate vector database patterns with weaviate-client v3 -- collection management, vectorizer modules, hybrid search, filtering, generative search (RAG), multi-tenancy, batch imports
日本語の概要は準備中です。原文の説明を表示しています。
Sync official Anthropic documentation and analyze impact on project components. Runs docs/reference/update-claude-docs.sh, computes diffs, and reports impacts on the skill validator, plugins, and project documentation. Use when user mentions "sync docs", "update reference docs", "refresh docs", or "check doc changes".
日本語の概要は準備中です。原文の説明を表示しています。
Use when a task needs the judgment of a correctional officer or jailer — scoring an inmate-classification instrument, deciding a use-of-force response level, running a cell/contraband search, preparing evidence for a disciplinary hearing, or screening an inmate for suicide/mental-health crisis risk.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a task needs the judgment of an airfield operations specialist — running a Part 139 self-inspection of the movement area, assigning a Runway Condition Code (RwyCC) after snow/ice contamination, deciding whether a discovered hazard needs an immediate NOTAM, triggering a Wildlife Hazard Assessment after a strike or sighting, or judging a FOD find as immediate-closure versus scheduled removal.
日本語の概要は準備中です。原文の説明を表示しています。
Optimizes GKE costs, rightsizes workloads, and configures Spot VMs, CUDs, cost allocation, and resource quotas. Use when optimizing GKE cluster or workload costs, configuring GKE cost allocation or quotas, rightsizing CPU/memory requests, or selecting Spot VMs and machine types. Don't use for general compute class provisioning or GPU Selection (use gke-compute-classes instead).
日本語の概要は準備中です。原文の説明を表示しています。
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto Provisioning configuration or general GKE cluster creation.
日本語の概要は準備中です。原文の説明を表示しています。
Trigger on mention of GKE cluster autoscaler, node autoscaling, node pool auto-creation / node auto-provisioning. Provides guidance on enabling and optimizing cluster autoscaler, best practices, and troubleshooting issues such as nodes not scaling up or down, zonal stockouts, or capacity buffers. Do not use for ComputeClass-specific YAML generation or priority configuration (defer to gke-compute-classes skill).
日本語の概要は準備中です。原文の説明を表示しています。
Appwrite CLI skill. Use when managing Appwrite projects from the command line. Covers installation, login, project initialization, multi-file project configuration, deploying functions/sites/tables/buckets/teams/webhooks/topics, flag-based list queries, non-interactive CI/CD mode, and generating type-safe SDKs.
日本語の概要は準備中です。原文の説明を表示しています。
HTTP Request Smuggling — frontend/backend HTTP parser uyumsuzluğunu sömürerek auth bypass, cache poisoning, internal endpoint erişimi
日本語の概要は準備中です。原文の説明を表示しています。
既存の .claude/ 体系(CLAUDE.md・Agents・Rules・Skills・hooks)を診断し、理想形との差分を提示して ユーザー承認後に追補・充実させる。「.claude 充実させて」「CLAUDE.md 充実させて」「Agent 整備して」 「claude 体系アップデート」「Rules 追加して」などで使用。新規セットアップは init-claude を使用。 npx skills add 不足分の補完・implement-issue-tree の前提確認・既存資産の破壊なし差分更新が特徴。
クラウドルーチン(CCR / スケジュールエージェント)を作成し、作成直後に claude.ai が 自動付与する不要な MCP connector を判定して除去する一連の処理。 「ルーチンを作って」「スケジュールエージェントを作成」「routine 作成して connector を整理」等で使う。 明らかに不要な connector は確認なしで外す。作成は /schedule のスキーマに従う。